Triple
T3095113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Department of Children and Families |
E64574
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DCF
DCF is the Massachusetts state agency responsible for protecting children from abuse and neglect and supporting families through child welfare services.
|
E326819
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DCF | Statement: [Massachusetts Department of Children and Families, abbreviation, DCF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DCF Context triple: [Massachusetts Department of Children and Families, abbreviation, DCF]
-
A.
DF
DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
-
B.
CEF
CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
-
C.
DFC
DFC is the commonly used abbreviation for the Distinguished Flying Cross, a military decoration awarded for exceptional courage or achievement during aerial operations.
-
D.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
E.
CAF
CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DCF Triple: [Massachusetts Department of Children and Families, abbreviation, DCF]
Generated description
DCF is the Massachusetts state agency responsible for protecting children from abuse and neglect and supporting families through child welfare services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DCF Target entity description: DCF is the Massachusetts state agency responsible for protecting children from abuse and neglect and supporting families through child welfare services.
-
A.
DF
DF is the vehicle registration code for Brazil’s Federal District, which includes the national capital, Brasília.
-
B.
CEF
CEF is the abbreviation for the Canadian Expeditionary Force, the field force of the Canadian Army raised for service overseas during the First World War.
-
C.
DFC
DFC is the commonly used abbreviation for the Distinguished Flying Cross, a military decoration awarded for exceptional courage or achievement during aerial operations.
-
D.
CAF
CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
-
E.
CAF
CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada239a8c88190a746892b56ee7e02 |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20370aba48190a31ec25bca0a4727 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2046f76488190adef6685544b080e |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2054bca388190ad40b2303ac96373 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:03 p.m.